Computational grounded theory revisited
From computer-led to computer-assisted text analysis
Bibliographic Data
| ID | 5260581 |
|---|---|
| Authors | Hjalmar Bang Carlsen (0000-0002-2638-0932, University of Copenhagen, corresponding author), Snorre Ralund (0000-0002-4130-9923, University of Copenhagen) |
| Year | 2022 |
| Volume | 9 |
| Issue | 1 |
| Publication date | 2022-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Big Data & Society (JOURNAL) |
| Journal identifiers | ISSN: 2053-9517 • E-ISSN: 2053-9517 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/20539517221080146 |
| OpenAlex | W4220839251 |
| Language | EN |
| Citations received | 26 |
| References cited | 23 |
The size and variation in both meaning-making and populations that characterize much contemporary text data demand research processes that support both discovery, interpretation and measurement. We assess one dominant strategy within the social sciences that takes a computer-led approach to text analysis. The approach is coined computational grounded theory. This strategy, we argue, relies on a set of unwarranted assumptions, namely, that unsupervised models return natural clusters of meaning, that the researcher can understand text with limited immersion and that indirect validation is sufficient for ensuring unbiased and precise measurement. In response to this criticism, we develop a framework that is computer assisted. We argue that our reformulation of computational grounded theory better aligns with the principles within grounded theory, anthropological theory generation and ethnography
Data science · Epistemology · Grounded theory · Qualitative research · Social science · Sociology · Computational and Text Analysis Methods · Computer Science · Qualitative Research Methods and Applications · Topic Modeling · Artificial Intelligence
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| Unique citing works | 26 |
|---|---|
| Citations per year | 8,67 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 26 |